In general, ML algorithms build relationships between inputs and outputs by leveraging statistical properties of the data. As researchers expose the algorithm to more data, it learns and adapts.

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

Once a marketplace for machine-learning algorithms that companies could find and insert into their applications, Algorithmia is now focused on helping companies implement those algorithms into ...

Processor capabilities for low-power machine learning inference Selecting the right processor is key to achieving high efficiency for the implementation of low/mid-end machine learning inference.

New machine learning algorithm promises advances in computing Digital twin models may enhance future autonomous systems Date: May 9, 2024 Source: Ohio State University Summary: Systems controlled ...

A key objective of behavioral science research is to better understand how people make decisions in situations where outcomes are unknown or uncertain, which entail a certain degree of risk.